Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction --skill docx-constructiongit clone --depth 1 https://github.com/jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_ConstructionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/docx-construction)<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/docx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/docx-construction/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/docx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/docx-construction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.02556 |
| Opus 5 | $0.00015 | $0.01278 |
| Sonnet 5 | $0.00006 | $0.00511 |
| Haiku 4.5 | $0.00003 | $0.00256 |
Grade A, and why
docx-construction scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to docx-construction — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Word Document Generation for Construction
Overview
Create professional Word documents for construction workflows using python-docx. Generate contracts, proposals, reports, and specifications from templates with dynamic data.
Construction Use Cases
1. Contract Generation
Generate construction contracts from templates with project-specific data.
from docx import Document
from docx.shared import Inches, Pt
from docx.enum.text import WD_ALIGN_PARAGRAPH
from datetime import datetime
def generate_subcontract(template_path: str, contract_data: dict, output_path: str) -> str:
"""Generate subcontract from template."""
doc = Document(template_path)
# Replace placeholders
replacements = {
'{{PROJECT_NAME}}': contract_data['project_name'],
'{{CONTRACT_NUMBER}}': contract_data['contract_number'],
'{{SUBCONTRACTOR_NAME}}': contract_data['subcontractor'],
'{{SCOPE_OF_WORK}}': contract_data['scope'],
'{{CONTRACT_VALUE}}': f"${contract_data['value']:,.2f}",
'{{START_DATE}}': contract_data['start_date'],
'{{END_DATE}}': contract_data['end_date'],
'{{RETENTION_PERCENT}}': f"{contract_data['retention']}%",
}
for paragraph in doc.paragraphs:
for key, value in replacements.items():
if key in paragraph.text:
paragraph.text = paragraph.text.replace(key, value)
# Also check tables
for table in doc.tables:
for row in table.rows:
for cell in row.cells:
for key, value in replacements.items():
if key in cell.text:
cell.text = cell.text.replace(key, value)
doc.save(output_path)
return output_path
2. Proposal Document
Create professional project proposals.
def create_proposal(project_info: dict, scope_items: list, pricing: dict) -> Document:
"""Create construction proposal document."""
doc = Document()
# Title
title = doc.add_heading('Project Proposal', 0)
title.alignment = WD_ALIGN_PARAGRAPH.CENTER
# Project Info
doc.add_heading('Project Information', level=1)
doc.add_paragraph(f"Project: {project_info['name']}")
doc.add_paragraph(f"Location: {project_info['location']}")
doc.add_paragraph(f"Client: {project_info['client']}")
doc.add_paragraph(f"Date: {datetime.now().strftime('%B %d, %Y')}")
# Scope of Work
doc.add_heading('Scope of Work', level=1)
for item in scope_items:
doc.add_paragraph(item, style='List Bullet')
# Pricing Table
doc.add_heading('Pricing Summary', level=1)
table = doc.add_table(rows=1, cols=3)
table.style = 'Table Grid'
# Headers
headers = table.rows[0].cells
headers[0].text = 'Description'
headers[1].text = 'Quantity'
headers[2].text = 'Amount'
# Add line items
for item in pricing['line_items']:
row = table.add_row().cells
row[0].text = item['description']
row[1].text = str(item['quantity'])
row[2].text = f"${item['amount']:,.2f}"
# Total row
total_row = table.add_row().cells
total_row[0].text = 'TOTAL'
total_row[2].text = f"${pricing['total']:,.2f}"
# Terms
doc.add_heading('Terms & Conditions', level=1)
doc.add_paragraph(f"Payment Terms: {pricing.get('payment_terms', 'Net 30')}")
doc.add_paragraph(f"Validity: {pricing.get('validity', '30 days')}")
return doc
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 314 lines · 30 tokens per session scan A 89146f57e1c5
docx-construction is a skill published in the GitHub repository jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction (2 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 2,556 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to docx-construction, differing in 0 lines, and is treated as a copy.
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